HFS RESEARCH POINT OF VIEW

CIOs Can Close the Gap Between AI Ambition and Enterprise Production

Why 88% of enterprises are still struggling to turn AI speed into sustainable results and what separates the leaders from the rest.

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What you'll learn:

The importance of identifying where value is stuck, wasted, or ready to scale—rather than hunting for AI use cases.

What to define before AI is given work: value, context, guardrails, and accountability.

How to turn organizational expertise into reusable AI-powered capabilities.

How engineering discipline keeps AI speed from creating avoidable risk and misalignment.

Why agentic engineering is about redefining roles, not replacing people.

Featured analyst perspective

"The AI production crisis will be solved by CIOs working with partners who demonstrate engineering depth, codified domain knowledge, and customer collaboration that operationalizes AI that ships."

Joel Martin
Chief Research Officer, HFS Research

Why HFS highlights Softtek’s “AI that ships” approach

Start with value, not use cases

The importance of identifying where value is stuck, wasted, or ready to scale—rather than hunting for AI use cases.

Codify what teams know

Through FRIDA and related frameworks, Softtek turns delivery knowledge, engineering rigor, and domain expertise into reusable AI-enabled capabilities.

Orchestrate AI in production

As more AI enters the ecosystem, it’s integrated into a “system of systems” to be effectively governed and observed.

Why HFS highlights Softtek’s “AI that ships” approach

CERTIFICATION

Responsible Al, independently certified

Softtek is the first technology company in Latin America to earn ISO/IEC 42001, the international standard for responsible Al management

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Making data usable, analytics actionable, and AI sustainable in production

👉 Explore data and AI services

Moving from engineering effort to engineering outcomes with AI acceleration across the SDLC

👉 Explore FRIDA for software engineering